Signal-based gain control

ABSTRACT

In a signal-based gain control scheme, one or more gain levels used for processing signals are selected based on characteristics of previously received signals. For example, different gain levels may be used to receive sets of signals whereupon certain characteristics of the received sets of signals are determined. One or more gain levels are then selected based on these characteristics whereby another signal is processed based on the selected gain level(s). In some aspects, the signal-based gain control scheme may be employed to facilitate two-way ranging operations between two devices. For example, leading edge detection may involve determining a characteristic of a received signal, determining a threshold based on the characteristic, and identifying a leading edge associated with the received signal based on the threshold. In some aspects, the signal-based gain control scheme may be employed in an ultra-low power pulse-based communication system (e.g., in ultra-wideband communication devices).

CLAIM OF PRIORITY

This application claims the benefit of and priority to commonly ownedU.S. Provisional Patent Application No. 61/348,454, filed May 26, 2010,and assigned Attorney Docket No. 093339P1, and U.S. Provisional PatentApplication No. 61/358,633, filed Jun. 25, 2010, and assigned AttorneyDocket No. 091404P1, the disclosure of each of which is herebyincorporated by reference herein.

CROSS-REFERENCE TO RELATED APPLICATION

This application is related to concurrently filed and commonly ownedU.S. patent application Ser. No. ______, entitled “SIGNALCHARACTERISTIC-BASED LEADING EDGE DETECTION,” and assigned AttorneyDocket No, 093339U2, the disclosure of which is hereby incorporated byreference herein.

BACKGROUND

1. Field of the Invention

This application relates generally to signal processing and morespecifically, but not exclusively, to signal-based gain control.

2. Relevant Background

Gain control may be used in a communication system to select anappropriate gain to be applied to a signal to facilitate subsequentprocessing of that signal. For example, gain control may be employed ina receiver to adjust the gain of an amplifier that is used to receive asignal. Here, the gain may be increased when receiving weak signals anddecreased when receiving strong signals.

Some systems may employ automatic gain control (AGC) to adjust the gainto be applied to a signal. For example, a receiver may monitor signalsin a communication channel and automatically adjust the gain used toreceive signals over that communication channel based on the monitoredsignals. In practice, some types of AGC may be relatively complex. Forexample, AGC may rely on the use of a coherent receiver to acquirereceived signals. However, in some implementations it may be desirableto have a relatively low complexity system, yet also provide relativelyrobust gain control.

SUMMARY

A summary of several sample aspects of the disclosure follows. Thissummary is provided for the convenience of the reader and does notwholly define the breadth of the disclosure. For convenience, the term“some aspects” may be used herein to refer to a single aspect ormultiple aspects of the disclosure.

The disclosure relates in some aspects to a signal-based gain controlscheme that selects one or more gain levels for processing signals basedon gain level-related characteristics of previously received signals.For example, initially, different gain levels may be used to receiveseveral sets of signals. Next, certain characteristics of the receivedsets of signals are determined. At least one gain level is then selectedbased on these characteristics, whereby a subsequently received signalis processed based on the selected gain level(s).

The disclosure relates in some aspects to using signal-based gaincontrol for two-way ranging between two devices. Here, accurate distanceestimation may be dependent on accurate detection of a leading edge of areceived signal at each device. A threshold used to detect such aleading edge may be selected through the use of signal-based gaincontrol as taught herein.

The disclosure relates in some aspects to a leading edge detectionscheme that identifies a leading edge of a received signal based on athreshold that is, in turn, based on a characteristic of a receivedsignal. In some aspects, this scheme may involve signal-based gaincontrol where one or more gain levels used for processing signals toidentify a leading edge are selected based on characteristics ofpreviously received signals. For example, initially, different gainlevels are used to receive several sets of signals. Next, certaincharacteristics of the received sets of signals are determined (e.g., aminimum gain level that enables successful detection of a signal at thereceiver may be determined here). At least one gain level for receivinganother signal is then selected based on these characteristics, wherebya leading edge of the other signal is determined based on the selectedgain level(s). For example, the selected gain levels(s) may be used toreceive the other signal to facilitate more accurate detection of theleading edge of that signal. As another example, a threshold fordetecting the leading edge (e.g., estimating a time-of-arrival of theleading edge) may be specified based on the selected gain levels(s).

The disclosure relates in some aspects to using signal-based gaincontrol and/or leading edge detection in a pulse-based communicationsystem (e.g., a system that employs ultra-wideband (UWB) pulses). Insome cases, such pulse-based communication may be used to achieveultra-low power consumption (e.g., through the use of non-coherent radiocomponents). Accordingly, the signal-based gain control and/or leadingedge detection teachings herein may be employed to provide an ultra-lowpower UWB radio.

BRIEF DESCRIPTION OF THE DRAWINGS

These and other sample aspects of the disclosure will be described inthe detailed description and the appended claims that follow, and in theaccompanying drawings, wherein:

FIG. 1 is a simplified block diagram illustrating an example of acommunication system incorporating signal-based gain control;

FIG. 2 is a flowchart of several sample aspects of operations that maybe performed to process a signal based on signal-based gain control;

FIG. 3 is a flowchart of several sample aspects of operations that maybe performed to identify a leading edge based on received signal-basedthresholding;

FIG. 4 is a simplified block diagram illustrating an example of acommunication system adapted to perform two-way ranging;

FIG. 5 is a simplified diagram illustrating an example of two-wayranging signaling;

FIG. 6 is a simplified diagram illustrating an example of detection of aleading edge of a pulse;

FIG. 7 is a simplified block diagram illustrating an example of receivechain components and PHY algorithms;

FIG. 8 is a simplified block diagram illustrating an example ofcomponents for determining at least one gain level;

FIG. 9 is a simplified block diagram illustrating an example ofcomponents for performing operations relating to identifying a leadingedge of a signal;

FIGS. 10-12 are a flowchart of several sample aspects of ranging-relatedoperations that may be performed in conjunction with signal-based gaincontrol;

FIG. 13 is a simplified diagram illustrating an example of vectorgeneration;

FIG. 14 is a simplified diagram illustrating, in a conceptual manner, anexample of how a minimum gain level may be determined;

FIG. 15 is a simplified diagram illustrating an example of signalreconstruction;

FIG. 16 is a simplified diagram illustrating an example of athresholding operation;

FIGS. 17 and 18 are simplified diagrams illustrating an example of howcomponents may be implemented in an RF module, a hardware module, and asoftware module;

FIG. 19 is a simplified block diagram of several sample aspects ofcomponents that may be employed in communication nodes;

FIG. 20 is a simplified block diagram of several sample aspects ofcommunication components; and

FIG. 21 is a simplified block diagram of several sample aspects of anapparatus configured to provide signal-based gain control functionalityas taught herein.

FIG. 22 is a simplified block diagram of several sample aspects of anapparatus configured to identify a leading edge as taught herein.

In accordance with common practice the various features illustrated inthe drawings may not be drawn to scale. Accordingly, the dimensions ofthe various features may be arbitrarily expanded or reduced for clarity.In addition, some of the drawings may be simplified for clarity. Thus,the drawings may not depict all of the components of a given apparatus(e.g., device) or method. Finally, like reference numerals may be usedto denote like features throughout the specification and figures.

DETAILED DESCRIPTION

Various aspects of the disclosure are described below. It should beapparent that the teachings herein may be embodied in a wide variety offorms and that any specific structure, function, or both being disclosedherein is merely representative. Based on the teachings herein oneskilled in the art should appreciate that an aspect disclosed herein maybe implemented independently of any other aspects and that two or moreof these aspects may be combined in various ways. For example, anapparatus may be implemented or a method may be practiced using anynumber of the aspects set forth herein. In addition, such an apparatusmay be implemented or such a method may be practiced using otherstructure, functionality, or structure and functionality in addition toor other than one or more of the aspects set forth herein. Furthermore,an aspect may comprise at least one element of a claim. As an example ofthe above, in some aspects, a method of signal processing comprises:receiving sets of signals using different gain levels of a set of gainlevels; determining characteristics of the received sets of signals;selecting a gain level from the set of gain levels based on thedetermined characteristics; and processing another signal based on theselected gain level. In addition, in some aspects, the characteristicscomprise a plurality of gain level metrics that indicate how the use ofthe different gain levels affects the reception of the sets of signals.

FIG. 1 illustrates a sample communication 100 including devices 102 and104. At some point in time, the device 104 sends a sequence of signalsto the device 102 (e.g., as represented by the dashed line 106). Asignal-based gain controller 114 of the device 102 provides a set oftest gain levels that a transceiver 108 of the device 102 uses toreceive the sequence of signals. Then, based on certain characteristicsof the signals that were received using the different test gains levels,the signal-based gain controller 114 selects at least one gain levelthat is used for processing another sequence of signals sent by thedevice 104. For example, the transceiver 108 may receive the othersequence of signals using the selected gain level(s). Also, a processor116 may process the other sequence of signals based on the selected gainlevel(s) (e.g., to provide information for a ranging operation).

For a ranging operation, the device 104 sends an initial signal to thedevice 102 (e.g., as represented by the dashed line 106). A transceiver108 of the device 102 receives this signal and provides received signalinformation to the signal-based gain controller 114. The signal-basedgain controller 114 then selects at least one gain level that is usedfor acquisition of subsequent ranging signals sent by the device 104(e.g., as represented by the dashed line 106).

In some aspects, leading edge detection may involve processing severalreceived pulses to identify a leading edge associated with those pulses.For example, a preliminary timestamp may be generated upon reception ofa first pulse of a set of pulses. All of the pulses of the set may thenbe processed to assist in determining (e.g., estimating) leading edgelocation and timing for these pulses (e.g., the average location andtiming of a leading edge). The preliminary timestamp for the first pulsemay then be adjusted based on the leading edge information for the setto provide a final time-of-arrival estimate.

As an example of the above, in a low power receiver (e.g., which may beadvantageously employed in a UWB device), jitter and/or other conditionsmay adversely affect the accuracy with which the leading edge of a givenpulse is identified. The effects of these conditions may be mitigated(e.g., averaged out), however, by generating a reconstruction of areceived pulse based on several pulses. In this case, leading edgecharacteristics of the reconstructed signal may be correlated to anypulse of the set, thereby providing a more accurate leading edgetime-of-arrival estimate for that pulse.

In some aspects, leading edge detection may involve identifying aleading edge of a signal lobe associated with a first local maximum of areconstruction of the received signal. In this way, a leading edge maybe accurately identified even if a signal is received via a channel thathas multiple signal paths, which results in a received signal havingmultiple lobes.

In some implementations, the device 102 identifies a leading edgethrough the use of a received signal thresholding scheme. Here, athreshold is determined based on a characteristic (e.g., amplitude) of areceived signal. This threshold may then be used to identify a leadingedge of another received signal. Advantageously, such a scheme mayfacilitate accurate leading edge detection even under differentsignaling conditions (e.g., different signal-to-noise ratio (SNR)conditions) in the communication channel between the devices 102 and104.

For purposes of illustration, FIG. 1 depicts the transmission of signalsfrom the device 104 to the device 102 and components of the device 102that facilitate receiving and processing those signals. It should beappreciated, however, that the device 102 also may send signals to thedevice 104 and that the device 104 may include components that aresimilar to those depicted for the device 102. For example, inconjunction with two-way ranging operations, the processor 116 mayprovide leading edge information such as estimated time-of-arrivalinformation that is sent via the transceiver 108 to the device 104.Also, the processor 116 may receive information from the device 104(e.g., in conjunction with two-way ranging operations) via thetransceiver 108.

The devices 102 and 104 may be implemented in various ways. In someimplementations, the devices 102 and 104 comprise wireless devices(e.g., nodes) that transmit radiofrequency (RF) signals over-the-air. Inother implementations the devices may transmit other types of signal.

Several examples of signal-based gain control operations and leadingedge detection operations that may be performed by the system 100 willbe described in more detail in conjunction with the flowcharts of FIGS.2 and 3, respectively. FIG. 2 describes an example of operations thatmay be employed in an implementation that uses signal-based gain controlin accordance with the teachings herein. FIG. 3 describes an example ofoperations that may be employed in an implementation that uses receivedsignal thresholding operations in accordance with the teachings herein.For convenience, the operations of FIGS. 2 and 3 (or any otheroperations discussed or taught herein) may be described as beingperformed by specific components (e.g., the components of FIG. 1, 4, 7,8, or 9). It should be appreciated, however, that these operations maybe performed by other types of components and may be performed using adifferent number of components. It also should be appreciated that oneor more of the operations described herein may not be employed in agiven implementation.

As represented by block 202 of FIG. 2, at some point in time,communication is initiated between the first and second device. Forexample, as discussed in more detail below, in some implementations thedevices may initiate a two-way ranging operation to determine thedistance between the two devices.

Blocks 204-208 describe operations where the first device receivessignals from the second device and processes those signals to determineone or more gain levels that are used for processing other signalsreceived from the second device. In a pulse-based communication system,these signals may comprise sequences of pulses.

As represented by block 204, the first device uses different gain levelsto receive different sets of signals from the second device. Forexample, the receiver 112 may include a step-wise amplifier (e.g., a lownoise amplifier) for amplifying received signals. Here, any one of adefined set of gain levels may be used to receive a signal at a givenpoint in time. Thus, in this example, the operations of block 204 mayinvolve receiving different signals using different gain levels of theset of gain levels. For example, a first sequence of pulses may bereceived using one gain level, a second sequence of pulses may bereceived using another gain level, and so on.

As represented by block 206, the first device (e.g., the gain controller114) determines characteristics of the received signals. In particular,the first device may determine one or more characteristics associatedwith the reception of signals at each gain level. For example, the gaincontroller 114 may determine a first characteristic associated with thereception of signals using a first gain level, a second characteristicassociated with the reception of signals using a second gain level, andso on. Thus, in some aspects, the characteristics may comprise a set ofmetrics, whereby a given one of the metrics corresponds to a given oneof the gain levels. In the discussion that follows, these metrics arethus referred to as gain level metrics.

In some aspects, by determining how the characteristics of comparablesignals received with different gain levels differ, the first device maydetermine how to most effectively receive signals from the seconddevice. For example, as discussed in more detail below, the first devicemay determine the magnitudes of received signals (e.g., determine a trueor pseudo signal-to-noise ratio (SNR)) based on the gain level metrics.Based on this information, the first device may then select one or moreparameters for processing other signals received from the second device.

In particular, as represented by block 208, the first device (e.g., thegain controller 114) may select at least one gain level based on thecharacteristics determined at block 206. For example, if thecharacteristics indicate that received signals have a relatively lowsignal level (e.g., low SNR), the gain controller 114 may select one setof gains for receiving a subsequent signal. Conversely, if thecharacteristics indicate that received signals have a relatively highsignal level (e.g., high SNR), the gain controller 114 may select adifferent set of gains for receiving a subsequent signal.

As represented by block 210, the first device processes another signalbased on the gain level(s) selected at block 208. For example, thereceiver 112 may quantize the other signal using at least one thresholdthat is based on the selected gain level(s). As another example, if thefirst and second devices are performing a ranging operation, theprocessor 116 may determine a leading edge of a subsequently receivedsignal based on the selected gain level(s).

Referring now to FIG. 3, in some implementations a leading edge isdetected based on a threshold that is, in turn, determined based on acharacteristic of a received signal. For example, the threshold may beset based on the amplitude of the received signal (e.g., which isindicative of the SNR of the channel).

In some aspects, such an implementation may be employed in conjunctionwith a signal-based AGC scheme. For example, to identify one or moregain levels to be used for receiving ranging signals, a set of test gainlevels are used to receive a first set of signals. Then, based ondefined characteristics (e.g., an SNR mode) of the first signals thatwere received using the different test gains levels, at least one gainlevel is selected for receiving ranging signals. These ranging signalsare then processed to identify a leading edge associated with theranging signals (e.g., based on the selected gain level(s)).

The operations of FIG. 3 are described from the perspective of anapparatus that receives a signal and identifies a leading edgeassociated with that signal. Accordingly, as represented by block 302,at some point in time a device receives a signal from a second device.For example, the device may use different gain levels to receivedifferent sets of pulses from the second device. Here, a first sequenceof pulses may be received using one gain level, a second sequence ofpulses may be received using another gain level, and so on.

As represented by block 304, the device determines at least onecharacteristic of the received signal. In particular, the device maydetermine one or more characteristics associated with the reception ofsignals at each gain level. For example, the device may determine afirst characteristic associated with the reception of signals using afirst gain level, a second characteristic associated with the receptionof signals using a second gain level, and so on. Thus, in some aspects,the characteristics may comprise a set of metrics, whereby a given oneof the metrics corresponds to a given one of the gain levels. In thediscussion that follows, these metrics are thus referred to as gainlevel metrics.

In some aspects, by determining how the characteristics of comparablesignals received with different gain levels differ, the device maydetermine how to most effectively receive signals from the other device.For example, as discussed in more detail below, the device may determinethe magnitudes of received signals (e.g., determine a true or pseudosignal-to-noise ratio (SNR)) based on the gain level metrics. Based onthis information, the device may then select one or more parameters forprocessing other signals received from the other device. In particular,the device may select at least one gain level based on the determinedcharacteristics. For example, if the characteristics indicate thatreceived signals have a relatively low signal level (e.g., low SNR), oneset of gains for receiving a subsequent signal may be selected.Conversely, if the characteristics indicate that received signals have arelatively high signal level (e.g., high SNR), a different set of gainsfor receiving a subsequent signal may be selected.

As represented by block 306, the device determines at least onethreshold based on the characteristic(s) determined at block 304. Forexample, a threshold may be selected based on the selected gainlevel(s).

As represented by block 308, the device may then identify a leading edgeof another signal received from the second device based on thedetermined threshold(s). For example, the device may use such athreshold to quantize the subsequently received signal, to identify apoint on a leading edge associated with the subsequently receivedsignal, or to perform some other operation.

As described in more detail below in conjunction with FIGS. 8-18, in areceived signal-based thresholding scheme, a reconstruction of thereceived signal may be generated based on the signals acquired at theselected gain level(s). A first local maximum of the signalreconstruction is then identified, whereupon a lobe associated with thatfirst local maximum is identified as well. Finally, a leading edge ofthe lobe is identified, such that a time-of-arrival of the leading edgemay be determined.

For purposes of illustration, additional details of a signal-based gaincontrol scheme as taught herein will be described in the context of aranging system 400 as shown in FIG. 4. Ranging involves determining adistance between two locations. In a typical scenario, a ranging devicemeasures a distance from the ranging device to another object. Here, theranging device may determine the amount of time it takes for a signal totravel between the ranging device and the other object. The rangingdevice may then estimate the distance based on the signal propagationtime and the known propagation speed of the signal (e.g., estimated asthe speed of light). A ranging device may employ a variety oftechnologies such as laser, radar, sonar, and various forms ofradiofrequency (RF) signaling.

In the example of FIG. 4, devices 402 and 404 in the ranging system 400are configured to transmit and receive pulses. In some cases, such acommunication system may comprise a UWB system where the devicestransmit and receive UWB pulses. It should be appreciated, however, thatthe teachings herein may be applicable to other types of communicationsystems, frequency bands, and devices.

In an UWB system, pulses with widths on the order of a few nanosecondsor less (e.g., 4 nanoseconds or less) may be used for communication. Inaddition, these pulses may be transmitted using a relatively low dutycycle (e.g., a pulse may be transmitted on the order of every 200nanoseconds). The use of such pulses may facilitate accurate rangingmeasurements. For example, by using relatively narrow pulses, it may beeasier to accurately identify the line-of-sight (LOS) path (e.g., theleading edge) of a received pulse. Consequently, a more accurateestimate of the time-difference (e.g., the propagation delay) betweenwhen the pulse was transmitted by one device and when the pulse wasreceived by another device may be determined.

In some wireless systems (e.g., a system employing portable UWBdevices), it is desirable to utilize low power and/or low cost devices.Such constraints may, however, limit the capabilities of these devices.For example, it may not be feasible to use coherent radios (which mayotherwise facilitate precise distance estimation) in ultra-low power andlow cost devices because coherent radios may be relatively complexand/or have relatively high power consumption. Consequently,conventional schemes may not provide a desired combination of ultra-lowpower and precise leading edge detection.

In the example of FIG. 4, the device 402 may initiate a two-way rangingoperation to determine a distance D between the devices 402 and 404. Inaccordance with the teachings herein, the devices 402 and 404 employ again control scheme to facilitate leading edge detection. Here, rangingfunctionality 406 of the device 402 cooperates with an impulse-basedtransceiver 408 to send messages to and receive messages from the device404. For example, the device 402 may send messages to the device 404 torequest initiation of a ranging operation, provide clock driftinformation, provide gain control information, and provide ranging data(for leading edge detection). The transceiver 408 sends these messagesvia a series of pulses as represented by the dashed line 414. Similarly,ranging functionality 410 of the device 404 cooperates with animpulse-based transceiver 412 to send messages to and receive messagesfrom the device 402. For example, the device 404 may send messages tothe device 402 to respond to the ranging request, provide gain controlinformation, and provide ranging data (for leading edge detection). Thetransceiver 412 sends these messages via a series of pulses asrepresented by the dashed line 416.

FIG. 5 illustrates a simplified example of ranging signal timing for twodevices (e.g., wireless devices) performing a two-way ranging operation.Here, a device A (e.g., the device 402) may determine the distance to adevice B (e.g. the device 404) based on a round-trip time associatedwith signals transmitted by the devices. For example, distance may beestimated based on the equation: D=T_(P)*C, where D is the estimateddistance, T_(P) is the signal propagation delay from one device to theother, and C is the speed of light. The signal propagation delay T_(P)may be estimated based on the round-trip time as discussed below.

The signals of FIG. 5 are depicted in a simplified form for purposes ofillustration. Here, a device B generates a signal 502 that istransmitted over-the-air (as represented by an arrow 504) to a device A.This signal is received at the device A (as represented by a signal 506)after a propagation time represented by a time period arrow 508.Following a turnaround time period (as represented by a time periodarrow 510) after receiving the signal 506, the device A generates asignal 512 that is transmitted over-the-air (as represented by an arrow514) to the device B. This signal is received at the device B (asrepresented by a signal 516) after a propagation time represented by atime period arrow 518. Each device generates a timing indication(hereafter referred to, for convenience, as a timestamp) associated withthe transmission and reception of these signals. For example, thedevices A and B may record transmit timestamps at T_(3A) and T_(1B),respectively, and the devices A and B may record receive timestamps atT_(2A) and T_(4B), respectively. Based on these timestamps, an estimatedpropagation delay T_(P) (e.g., corresponding to time period arrow 508 or518) may be computed. For example, a round-trip time estimate may bedetermined according to: 2T_(P)=(T_(4B)−T_(1B))−(T_(3A)−T_(2A)). Here,T_(1B), T_(2A), T_(3A), and T_(4B) are measurable. In addition, device Bmay send to device A an indication of the time period between T_(1B) andT_(4B) (represented by a time period arrow 520) measured by device B.Consequently, device A may calculate the round-trip time based on theindication received from device B (the time period arrow 520) and theturnaround time measured by device A (the time period arrow 510).

As indicated in the above example, the initial timestamps may not be ofsufficient precision to provide the desired ranging accuracy (e.g.,sub-foot accuracy). For example, the pulse detection scheme used togenerate the initial timestamps may employ a conventional signaldetection scheme (e.g., that detects a signal maximum). However, toachieve precise ranging measurements, it is desirable to detect theleading edge of a received signal. Accordingly, as discussed in detailbelow, more precise leading edge detection may be employed to identifythe leading edge of a received pulse.

FIG. 6 illustrates how leading edge detection may differ fromconventional signal detection (e.g., which may be used by the devices Aand B for data communication operations). Here, the device A sends apulse 602 that is transmitted (as represented by arrow 604) to thedevice B. The pulse 606 represents the received pulse at device B. Inconventional signal detection, the typical acquisition point maycorrespond to the strongest signal path. Thus, for data communicationpurposes, the pulse 606 may be acquired at or near point 608.

To determine the signal propagation delay time with a high degree ofaccuracy for ranging, it is desirable to locate the leading edge 610 ofthe pulse 606. In a multi-path scenario, however, the leading path(e.g., LOS path) of a pulse may be attenuated. Since the leading pathmay be weaker than other paths under these circumstances, detection ofthe strongest signal path may not identify the leading edge of thepulse. FIGS. 7-16 describe how a signal-based gain control scheme may beemployed to facilitate accurate leading edge detection in a rangingsystem.

FIG. 7 depicts sample components that may be employed in a wirelessdevice 700 to receive pulses. In particular, FIG. 7 depicts a receivechain including components 702-712, and PHY algorithms 714 that may beemployed to control the receive chain. An RF signal received at anantenna 702 is filtered by a bandpass filter 704 and provided to a oneor more amplifiers as represented by the amplifier 706 (e.g., astepped-gain low noise amplifier and/or a variable gain amplifier). Theamplifier 706 amplifies this signal based on a control signal 718. Theoutput of the amplifier is sent to a 1-bit sampler 712 (e.g., a 1-bitADC or some other suitable sampler) that samples the signal at a definedrate. In some implementations, the sampler threshold may be set (e.g.,via the amplifier 706) such that 9% of the received samples are equal to1 in the absence of an input signal.

In some aspects, the PHY algorithms 714 process the digital samples(slices) output by the sampler 712 to determine one or more gain levelsfor receiving signals. For example, the PHY algorithms 714 may generatethe control signal 718 to cause different sets of signals to be receivedat different gain levels. Based on analysis of these sets of signals asdiscussed herein, the PHY algorithms 714 may generate the controlsignals 718 to set at least one gain level for receiving subsequentsignals.

In the receive architecture of FIG. 7, it is desirable for systemperformance to be sufficiently robust to changes in the SNR of thesignal path (e.g., channel), changes in transmit/receive parameters, andchannel realization. However, factors such as jitter and quantizationmay adversely affect the performance of the system. For example, thetotal jitter in an RF transmit/receive chain may be comparable to thepropagation delay T_(P).

In some implementations, multiple pulses may be averaged to reduce theeffect of the jitter. For example, signal reconstruction may beperformed by averaging a set of pulses according to the followingequation:

${r(k)} = {\frac{1}{N_{P}}{\sum\limits_{P = 1}^{N_{P}}{s\left( {p,k} \right)}}}$

In the above equation, k is the slice index (e.g., k=1, 2, . . . , 24),N_(P) is the number of pulses, p is the pulse index (e.g., p=1, 2, . . ., N_(P)), and s(p, k)ε{0, 1}.

As mentioned above, the SNR of the signal path also may affect theaccuracy of the ranging calculation. For example, a received pulse maybe a function of the path gain and noise in the path which may beunknown at the receiver. If a fixed threshold is used for quantization,then the width of a pulse after quantization depends on the SNR. Inaddition, successive paths may not be distinguishable from one strongerpath.

In view of the above, several considerations may be taken into accountwhen implementing a ranging scheme. For example, a quantization step maybe implemented to allow an accurate reconstruction of thepre-quantization signal. Also, the quantization step may be designed toprovide some robustness to channel realization. However, it may besufficient to only reconstruct the part of the signal that correspondsto the first path. In addition, for a signal path channel, an optimumthreshold may be defined based on the maximum magnitude of the inputsignal.

In a multi-path scenario (e.g., where a transmitted signal isrefracted), on the other hand, the LOS path may or may not be thestrongest path. For example, the LOS path may be attenuated by anobstruction in the path such that a reflected path (non-LOS path) may bethe strongest path. Accordingly, a received signal may have multiplelobes where a leading lobe may have a lower peak amplitude than a laterlobe. Similarly, a received signal may have multiple signal pathcomponents (but does not have readily distinguishable lobes) where aleading signal path component may have a lower peak amplitude than theoverall signal.

In accordance with the teachings herein, a ranging algorithm withsignal-based gain control may be employed to provide accurate rangingmeasurements in light of the considerations and mitigating factorsdiscussed above. The ranging algorithm produces an estimate of the timeof arrival of a received pulse by processing the slices of a numberN_(P) of successive transmitted pulses. Here, the gain level (e.g., anAGC level) may be set based on the signal level and may be changedduring the reception of pulses according to a defined scheme.

The ranging algorithm involves two primary algorithms: a signal-basedgain control algorithm and a core ranging algorithm. In some aspects,the signal-based gain control algorithm determines one or more receivegain levels to be used by the core ranging algorithm during leading edgeestimation. For example, the signal-based gain control algorithm maydetermine an appropriate quantization threshold (or set of thresholds)by processing sets of pulses that are received using different gainlevels. The core ranging algorithm then identifies the leading edgeassociated with a received pulse by quantizing the received pulse usingthe quantization threshold(s).

FIG. 8 illustrates sample functionality 800 for implementing asignal-based gain control algorithm in a device. A first sequence ofpulses from another device (not shown) is received by a receive chain802 of the device. The receive chain receives different sets of thesepulses at different gain levels 804.

At components 806 and 808, the pulses are processed to determine aminimum gain level (e.g., a minimum AGC level or target AGC level) suchthat a signal is detectable at the device (i.e., a level that providesadequate received signal detection). For example, a minimum gain levelmay be specified as the smallest gain level that results in sufficientdetection of the pulse. In some aspects, sufficient pulse detection maycorrespond to a quantization threshold that is below the peak of thepulse within a certain margin. Accordingly, in some aspects, thisoperation may involve identifying the peak of a received pulse (e.g., areconstructed “pulse” based on the average of the samples of a set ofthe received pulses). For example, the peak of the received pulse may beidentified by quantizing the received pulses at different gain levelsand generating gain metrics that indicate whether the quantizationthresholds for those gain levels are near the peak of the receivedpulse.

A gain level metric computation component 806 generates a set of gainlevel metrics based on the corresponding sets of pulses received at eachgain level. For example, a different gain level metric may be generatedfor each gain level. In some aspects, a gain level metric may provide anindication of whether a pulse may be reliably sampled at that gainlevel. For example, a gain level metric may provide an indication of thenumber of ‘1s’ sampled (or the number of times a sample threshold wasexceeded) when receiving one or more pulses at a corresponding gainlevel. Accordingly, a gain metric may indicate whether the quantizationthreshold for a given gain level is above or below the peak of thereceived pulse and, in some aspects, how far the quantization thresholdlevel is above or below the peak.

A minimum gain level computation component 808 then computes the minimumgain level based on the gain level metrics. For example, the lowest gainlevel that has a gain metric that indicates that the pulse wassufficiently detectable at that gain level may be selected here.

Different methods may be used during this stage of the algorithm. Forexample, in some implementations a device uses all gain levels in aninterval of interest and determines the minimum gain level afterprocessing all slices. In other implementations, the device may use abinary search.

At components 810 and 812, using the minimum gain level, the devicedetermines a set of gains that will be used for the reception of asecond sequence of pulses from the other device. For example, in someimplementations up to three gain levels are used in the second stage,each of which is used for the reception of 40 pulses. Here, a signalmode (e.g., SNR mode) selection component 810 determines a signal modebased on the minimum gain level. For example, a SNR mode may be set to0, 1, or 2 if the minimum gain level is high, medium, or low,respectively. A ranging measurement gain level computation component 812computes the gain levels to be used for receiving the second sequence ofpulses. In other words, the component 812 determines the thresholds(e.g., via AGC gain levels) that are used to quantize the second pulsesequence. Here, since it is desirable to detect a weaker LOS path whensuch a path is present, the gain levels are specified to detect thepulse below the peak of the pulse. Moreover, through the use of multiplegain levels at this stage (e.g., resulting in a different effectivequantization threshold at each level), information about the shape ofthe pulse may be acquired.

FIG. 9 illustrates sample functionality 900 for implementing a coreranging algorithm. In this example, the core ranging algorithm uses thesignal mode provided by the component 810, the gain levels from thecomponent 812, and the slices of the second sequence of pulses asprovided via the receive chain 802.

A signal reconstruction component 904 receives the slices (representedas inbound on the line 902) and combines them to provide areconstruction of the original signal (e.g., a reconstructed “pulse”corresponding to the second sequence of pulses). In other words, theresulting reconstruction is an approximation of the received waveformsampled at the defined slice period (e.g., 0.5-2 nanoseconds). Thesignal reconstruction may take various forms. For example, in someimplementations, the received slices obtained using a given threshold(e.g., gain level) are averaged and these averaged signals for eachthreshold are combined (e.g., with weighting) to provide thereconstructed signal.

The remaining blocks of FIG. 9 illustrate a sequence of processingoperations performed on the signal reconstruction to identify theleading edge. Initially, a threshold search component 906 performs athresholding operation on the signal reconstruction (e.g., to eliminateany samples at or below a noise floor). In some aspects, this thresholdmay be a function of the minimum gain level and/or the maximum value ofthe signal reconstruction. After the thresholding operation, a firstlocal maximum search component 908 searches for the first local maximumof the signal reconstruction. A first lobe search and extract component910 uses the signal reconstruction and the identified first localmaximum to identify and extract the lobe around the first local maximum.The resulting lobe waveform is then processed by a zero insertioncomponent 912 (e.g., to provide finer resolution) and a filter component914 (e.g., a low pass filter) to provide an upsampled signal.

A first threshold pass search component 916 identifies the leading edge(e.g., pulse arrival time) as the first point where the upsampled signalexceeds a threshold. In some aspects, this threshold may be determinedas a function of the maximum amplitude of the upsampled signal (thesignal reconstruction). For example, system requirements may dictatethat paths that are a defined level (e.g., 10 dB-3 dB) below thestrongest path are to be detectable. Thus, the threshold may be setbelow the maximum amplitude by a specified amount (e.g., a defined dBlevel lower, at a midpoint, etc.). In some aspects, the threshold may beset so that a weaker path (e.g., a weaker LOS path) is detectable. Forexample, to account for a situation where an earlier weaker signal maybe masked within a larger later signal, the threshold may be set at arelatively low percentage (e.g., 10%-45%) of the maximum pulse amplitudein an attempt to ensure that the leading edge is based on the earliersignal rather than the later signal. In some aspects, the threshold maybe specified based on a received signal mode (e.g., SNR mode). Forexample, in the event a relatively small signal is received (e.g., lowSNR), the threshold may be set just below the peak of the receivedsignal (e.g., just above the noise floor).

In some implementations a bias correction component 918 may be employedto compensate for bias introduced by the above operations. For example,bias may be induced by the presence of saturation and/or bias may dependon the minimum gain level (e.g. SNR mode) selected above. As an exampleof the latter case, pulses of different amplitude (e.g., associated withdifferent SNR) may have different slopes which, in turn, may affect theidentification of (e.g., estimation of) the timing of the leading edgesof these pulses. Thus, bias correction may be employed to account forthe slight differences in leading edge times that the algorithm maycalculate for these different types of signals. In some implementations,bias is compensated through the use of a look-up table. Here, eachthreshold scheme may be associated with a bias correction value. In someimplementations, the bias correction method may be based on the maximumof the upsampled signal. Such a method may be able to substantially(e.g., completely) remove the bias for a weaker first path that isspaced far enough from the next path.

In some implementations, a drift compensation component 920 may beemployed to estimate and compensate for clock drift between the devices.In other implementations, however, there may be relatively littleperformance degradation due to clock drift. For example, the clockdrifts of two devices may tend to compensate each other. Consequently,drift compensation may not be used in some implementations.

Additional details relating to operations that may be performed by thecomponents of FIGS. 8 and 9 or other suitable components will now bedescribed with reference to the flowchart of FIGS. 10-12. In a sampleimplementation, an estimate of the time of arrival is computed in unitsof the slice sampling interval.

Referring initially to FIG. 10, as represented by block 1002, at somepoint in time a two-way ranging operation is commenced at a device. Forexample, the device may send a request to initiate ranging operations toanother device and the other device may send a corresponding response(e.g., accepting the request). Upon commencement of ranging operations,the devices may initiate ranging-specific gain control operations. Insome aspects, these operations may be invoked to facilitate accurateleading edge detection. For example, during normal communicationoperations between devices, gain control may not be employed or arelatively simple form of gain control may be employed (e.g., tomaintain low power consumption). However, to facilitate highly accurateleading edge detection (e.g., to enable ranging accuracy on the order ofone foot or less), a more robust form of gain control (e.g.,signal-based gain control) may be invoked during ranging operations.Upon initiation of such gain control operations, each device transmitssets of pulses to the other device. These pulses may comprise, forexample, defined symbol sequences (e.g., pseudorandom sequences) knownby the first and second devices.

As represented by block 1004, a device commences collecting (e.g.,sampling) sets of pulses for the gain level determination operation. Asrepresented by block 1006, a gain level is selected for receiving oneset of pulses. As represented by block 1008, the set of pulses receivedat that gain level are acquired. Here, the device may sample over theperiods of time at which it is expected that pulses should arrive at thedevice (e.g., based on the pulse repetition period, the inter-pulseperiod, and time hopping). For example, in the event ten pulses werereceived during ten sampling windows, a set of ten pulses may be sampledto provide ten sample vectors representative of the pulses for that gainlevel. As represented by block 1010, the operations of blocks 1006 and1008 are repeated for different gain levels. Thus, for each gain levelof a defined set of gain levels, a plurality of pulses may be acquiredover a set of sample positions.

As represented by block 1012, a gain level metric is determined for eachgain level based on the pulses received for that gain level. In a sampleimplementation, the gain metric computation may comprise a two stepprocess.

At a first step, the samples for each pulse position may be added toprovide a sum vector that indicates how many ‘1s’ were received in eachpulse position (e.g., indicates the probability of getting a ‘1’ in eachsample position). FIG. 13 illustrates an example of how such a vectormay be generated. Here, the vectors 1302, 1304, and 1306 and theassociated ellipse represent ten pulse vectors that were acquired for agiven gain level. In this simplified example, each pulse is shown asbeing sampled at ten sample positions. The vector 1308 represents thesum vector that indicates how many 1s were received in each sampleposition for that gain level. Thus, each element of such a vector maycorrespond to one of the sample positions.

At a second step, for each gain level, it is determined how many of theelements of the corresponding sum vector are greater than or equal to athreshold (e.g., greater than 3). In some aspects, this threshold maycorrespond to a level that has been defined (e.g., determinedempirically and/or through simulation) to represent a high probabilitythat a pulse was present at that sample position. Referring again to thesum vector 1308 of FIG. 13, the gain level metric for this vector is 5for the case where the threshold to be exceeded is 3, since 5 of thesample positions exceed this threshold. Similar gain level metrics arethus calculated for each of the gain levels. Consequently, a gain levelmetric vector may be generated from this metric data whereby consecutiveelements contain the metrics for corresponding consecutive gain levels.As an example, a gain level metric vector may take the form: [9, 9, 9,8, 8, . . . , 2, 1, 1, 1, 0, 0, 0] where the vector elements from leftto right correspond to successively lower gain levels.

As represented by block 1014 of FIG. 10, a minimum gain level isdetermined from the gain level metrics. In some implementations, thisinvolves determining a minimum gain level that may be used to reliablydetect a pulse. For example, FIG. 14 illustrates a sample pulse 1402 andlines 1404-1408 that correspond to different gain levels. Here, the line1404 represents that at a corresponding gain level, the pulse 1402 wouldnot be detected (e.g., would not exceed a threshold) at any samplepositions. The line 1406 represents that at a corresponding gain level(e.g., a higher gain level), the pulse 1402 would be detected (e.g.,would exceed a threshold) at a single sample position: position 5. Theline 1408 represents that at a corresponding gain level (e.g., an evenhigher gain level), the pulse 1402 would be detected at several samplepositions: positions 3-7.

Accordingly, a minimum gain level may be determined by identifying thelast non-zero element of the gain level metrics vector. For example, inthe vector [9, 9, 9, 8, 8, . . . , 2, 1, 1, 1, 0, 0, 0], the gain levelcorresponding to the rightmost 1 may be selected as the minimum gainlevel. Thus, in some aspects, this operation involves identifying thepeak of the pulse.

As represented by block 1016 of FIG. 10, a received signal mode (e.g.,an SNR mode) is identified based on the minimum gain level. For example,if the minimum gain level is low (e.g., below a defined threshold), ahigh SNR mode may be indicated (e.g., SNR mode=2). If the minimum gainlevel is at a medium level (e.g., between defined thresholds), a mediumSNR mode may be indicated (e.g., SNR mode=1). If the minimum gain levelis high (e.g., above a defined threshold), a low SNR mode may beindicated (e.g., SNR mode=0). Thus, in some aspects, the signal mode maybe indicative of a peak amplitude associated with a received pulse.

Referring now to FIG. 11, as represented by block 1018, a set of gainlevels (e.g., comprising 3 gain levels) is selected based on thereceived signal mode. For example, one set of gain levels may beselected for SNR mode 0, another set of gain levels may be selected forSNR mode 1, and yet another set of gain levels may be selected for SNRmode 2. The set of gain levels may be defined, for example, based onempirical tests and/or simulations that indicate optimum gain levels fordifferent SNR conditions. Also, this set of gain levels typicallyconsists of a subset of the gain levels used at blocks 1006 and 1008.

The gain levels selected at block 1018 are used to collect another setof pulses commencing at block 1020. As represented by block 1022, one ofthe gain levels from block 1018 is selected for receiving one set ofpulses (e.g., 40 pulses). As represented by block 1024, the set ofpulses received at that gain level are acquired. For example, a set of40 pulses may be sampled to provide 40 sample vectors representative ofthe pulses for that gain level. These pulses may then be averaged toprovide a representative pulse vector. As represented by block 1026, theoperations of blocks 1022 and 1024 are repeated for the different gainlevels specified by block 1018.

FIG. 15 illustrates an example where a received pulse 1502 is sampled atthree different gain levels. In this example, the received pulse 1502comprises a smaller early signal (e.g., the LOS path) and a larger latersignal (e.g., a reflected signal) due to, for example, refraction of thetransmitted pulse and attenuation in the LOS path. The lines 1504-1508represent where the pulse 1502 would cross a threshold at each gainlevel. Specifically, the line 1504 represents that at a correspondinggain level, the pulse 1502 would be detected (e.g., would exceed thethreshold) at pulse positions 6 and 7. The corresponding samples arerepresented by the vector 1510. The line 1506 represents that at acorresponding gain level (e.g., a higher gain level), the pulse 1502would be detected at sample positions 3, 5, 6, 7, and 8. Thecorresponding samples are represented by the vector 1512. The line 1508represents that at a corresponding gain level (e.g., an even higher gainlevel), the pulse 1502 would be detected at sample positions 2-9. Thecorresponding samples are represented by the vector 1514.

As represented by block 1028 of FIG. 11, a reconstruction representativeof the input pulse is generated based on the samples collected at thedifferent gain levels. For example, respective sample positions of theaveraged vector generated for each gain level at blocks 1022-1026 may becombined to provide a reconstructed signal 1516 (FIG. 15). In someimplementations, the vectors associated with different gain levels maybe weighted differently. For example, the averaged vector for the firstgain level may be weighted by a first weight, the averaged vector forthe second gain level may be weighted by a second weight, and so on,whereby the resulting weighted vectors are summed to generate areconstructed signal.

Blocks 1030-1034 of FIGS. 11 and 12 involve searching for a first localmaximum in the reconstructed signal. This provides a coarse location ofthe leading edge. As represented by block 1032, a thresholding operationmay be performed to, for example, remove samples below a noise floorfrom the constructed signal. FIG. 16 illustrates an example where athreshold 1602 is applied to a reconstructed signal 1604 to eliminatesamples below the threshold 1602, thereby providing a reconstructedsignal 1606.

As represented by block 1034 of FIG. 12, a first location maximum of thereconstructed signal is then located. For example, in FIG. 16 the firstlocal maximum is in the vicinity of the third sample.

As represented by block 1036 of FIG. 12, a first signal lobe associatedwith the first local maximum is identified and extracted. For example,in FIG. 16 the first lobe may comprise the second, third, and fourthsamples.

Blocks 1038-1044 of FIG. 12 involve identifying a leading edge of thefirst lobe. As represented by block 1040, the first lobe is upsampledvia a zero insertion operation to provide lobe data at a higherresolution. The resulting data is then filtered as represented by block1042.

As represented by block 1044 of FIG. 12, a leading edge of the lobe(and, hence, the LOS leading edge of the pulse) is identified. Forexample, the leading edge of the pulse may be identified (e.g., thetiming of the leading edge estimated) by determining where the leadingedge of the higher resolution lobe crosses a threshold. In someimplementations this threshold may be defined based on the receivedsignal mode (e.g., SNR mode). For example, for a low SNR mode, theleading edge may be defined just below the peak of the pulse.

As represented by block 1046 of FIG. 12, the leading edge identified atblock 1044 is corrected for bias. In some implementations this biascorrection may be based on the received signal mode (e.g., SNR mode).

As represented by block 1048 of FIG. 12, an initial timestamp acquiredduring the ranging procedure may be refined to more precisely reflectthe timing of the true leading edge as determined at blocks 1044 and1046. Also, RF delay calibration may be employed in someimplementations.

The output of the core ranging algorithm is an estimate of the parameter(T_(3A)−T_(2A)) in device A and an estimate of the parameter(T_(4B)−T_(1B)) in device B. These parameters may then be used todetermine the distance between the devices as discussed herein.

Through the use of the above techniques, highly accurate, yetcost-effective ranging may be achieved. For example, the abovetechniques may enable precise detection of a leading edge in arelatively simple and low power (e.g., non-coherent) receivearchitecture that employs 1-bit sampling (one-bit quantization).

In some aspects, the disclosed techniques provide better performance bytaking received signal levels (e.g., SNR modes) into account. Forexample, differences in system response (e.g., that may affect theleading edge estimate) that result from different received signal levels(e.g., associated with different received signal SNR levels) may becompensated for by using different parameters for different SNR modes.Accordingly, similar leading edge times may be measured for a receivedsignal from another device irrespective of whether the received signalhas a small amplitude or a large amplitude. Also, the disclosedtechniques provide a relatively efficient (e.g., low power and cost)method of leading edge detection since a leading edge may be detected byprocessing a relatively small number of samples.

The parameters described above may be defined in a variety of ways. Forexample, parameters such as SNR modes, SNR thresholds, selected gainlevels, bias compensation parameters, gain metric thresholds,quantization thresholds, table values, and so on, may be defined basedon empirical tests and/or simulations that attempt to identify optimalparameter values. In some aspects, an optimal parameter may be one thatprovides the best system performance (e.g., the most accurate rangingresults, the most accurate leading edge detection, and so on).

The components described herein may be implemented in various ways.FIGS. 17 and 18 illustrate an implementation that includes an RF module1702, a hardware module 1704 (e.g., a field programmable gate array(FPGA)), and a software module 1802 (e.g., an ARM).

Referring initially to FIG. 17, the hardware module 1704 has a preloadedscheme of gains (represented by the AGC scheme 1706) that are used bythe RF module 1702 to receive a sequence of pulses. The samples from thesequence are stored in and processed in the hardware module 1704.Specifically, a 1-bit sample collection component 1708 samples the pulsesequence and provides the resulting samples to a sample processingcomponent 1710. One result of this processing is a target gain level1712 which is stored in the hardware module 1704.

Referring now to FIG. 18, the hardware module 1704 (i.e., a determineAGC component 1804) uses the target gain level 1712 to determine thescheme of gain levels (AGC scheme 1806) that are used by the 1-bitsample collection component 1708 during the reception of a subsequentsequence of pulses. The hardware module 1704 also sends the target gainlevel 1712 to the software module 1802.

The hardware module 1704 includes a time tracking component 1808 toestimate clock drift, after which the hardware module 1704 sets the timetracking component 1808 to an open loop mode. In the open loop mode, thetime tracking component 1808 uses the value of the drift determined atthe previous step and does not update this value during the pulsereception process. The hardware module 1704, with the time trackingcomponent 1808 in the open loop mode, receives the subsequent sequenceof pulses using the gain scheme (AGC scheme 1806) that was defined as afunction of target gain level 1712. The samples collected at this stepare passed to the software module 1802 as represented by the line 1810.Optionally, these samples may undergo some minimal processing in thehardware module 1704.

If the device performs time tracking, information related to the timetracking process may be passed to the software module 1802 asrepresented by the line 1812. This information may comprise, forexample, the estimated drift and the hopping and data sequences that aretransmitted and/or received.

A sample processing component 1814 of the software module 1802 processesthe received samples. The target gain level 1712 is used as inputparameter (e.g., for determining a threshold). The time trackingindications also may be used for extra drift compensation.

The software module 1802 sends the result of the sample processing tothe MAC layer (not shown). The MAC layer may send the result to theother device using a data channel. If the device performs time-tracking,time tracking indications related to the transmitting process may besent to the software module 1802 as well.

As described above, FIG. 1 illustrates several sample components thatmay be incorporated into a device (e.g., device 102, 104, 402, or 404)for providing signal-based gain control and/or leading edge detectionand other functionality as discussed herein. FIG. 19 also illustratesseveral sample components that may be incorporated into such a device.It should be appreciated that these components or other similarcomponents may be incorporated into other devices in a system. Forexample, both devices that participate in a two-way ranging operationmay employ signal-based gain control leading edge detection as taughtherein. Also, the functionality of any of the components of a givendevice as described herein may be implemented as one or more components.

As shown in FIG. 1, the device 102 includes a transceiver 108 forsending data to and receiving data from the device 104 (and/or one ormore other devices, not shown). The transceiver 108 includes atransmitter 110 for transmitting signals (e.g., signals comprisingpulses, packets, messages, information, and so on) and a receiver 112for receiving signals (e.g., receiving sets of signals) at differentgain levels. Similarly, as shown in FIG. 19, the device 1902 includes atransceiver 1904 for sending data to and receiving data from one or moreother devices, not shown. The transceiver 1904 includes a transmitter1906 for transmitting signals and a receiver 1908 for receiving signals(e.g., receiving sets of pulses using different gain levels, samplingreceived pulses, and so on).

The devices 102 and 1902 also include other components that providefunctionality relating to the operations described herein. For example,a signal-based gain controller 114 may provide functionality forselecting one or more gain levels to be used for processing signals(e.g., determining characteristics of sets of signals received fromanother device, selecting a gain level from a set of gain levels basedon determined characteristics, identifying a received signal mode basedon a selected gain level). The receiver 112 and/or 1908 also may providefunctionality for processing a signal (e.g., adjusting gain of areceived signal) based on the selected gain level(s). In addition, aprocessor 116 may provide functionality for processing signals (e.g.,ranging-related signals) received from another device (e.g., based onmode information provided by the controller 114) and causingcorresponding signals to be transmitted to that other device. A signalreconstructor 1910 provides functionality relating to generating areconstruction of a received signal based on samples of the signal. Aleading edge identifier 1912 provides functionality relating toidentifying a leading edge associated with a received signal (e.g.,identifying a leading edge of a received signal based on a threshold,identifying a signal lobe associated with a first local maximum of asignal reconstruction). A distance determiner 1914 providesfunctionality relating to determining a distance between two apparatuses(e.g., determining a distance based on an estimated time of arrival of aleading edge). A characteristic determiner 1916 provides functionalityrelating to determining a signal-related characteristic (e.g.,determining at least one characteristic of a received signal). Athreshold determiner 1918 provides functionality relating to determiningat least one threshold (e.g., determining a threshold based on at leastone determined characteristic).

In some implementations the components of FIGS. 1 and 19 may beimplemented in one or more processors (e.g., each of which uses and/orincorporates data memory for storing information or code used by theprocessor(s) to provide this functionality). For example, some of thefunctionality of block 108 and some or all of the functionality ofblocks 114 and 116 may be implemented by a processor or processors of agiven device and data memory of that device (e.g., by execution ofappropriate code and/or by appropriate configuration of processorcomponents). Similarly, some of the functionality of block 1904 and someor all of the functionality of blocks 1910-1918 may be implemented by aprocessor or processors of a given device and data memory of that device(e.g., by execution of appropriate code and/or by appropriateconfiguration of processor components).

The teachings herein may be incorporated into a device employing variouscomponents for communicating with at least one other device. FIG. 20depicts several sample components that may be employed to facilitatecommunication between devices. Here, a first device 2002 and a seconddevice 2004 are adapted to communicate via a wireless communication link2006 over a suitable medium.

Initially, components involved in sending information from the device2002 to the device 2004 will be treated. A transmit (TX) data processor2008 receives traffic data (e.g., data packets) from a data buffer 2010or some other suitable component. The transmit data processor 2008processes (e.g., encodes, interleaves, and symbol maps) each data packetbased on a selected coding and modulation scheme, and provides datasymbols. In general, a data symbol is a modulation symbol for data, anda pilot symbol is a modulation symbol for a pilot (which is known apriori). A modulator 2012 receives the data symbols, pilot symbols, andpossibly signaling for a link, and performs modulation (e.g., OFDM orsome other suitable modulation) and/or other processing as specified bythe system, and provides a stream of output chips. A transmitter (TMTR)2014 processes (e.g., converts to analog, filters, amplifies, andfrequency upconverts) the output chip stream and generates a modulatedsignal, which is then transmitted from an antenna 2016.

The modulated signals transmitted by the device 2002 (along with signalsfrom other devices in communication with the device 2004) are receivedby an antenna 2018 of the device 2004. A receiver (RCVR) 2020 processes(e.g., conditions and digitizes) the received signal from the antenna2018 and provides received samples. A demodulator (DEMOD) 2022 processes(e.g., demodulates and detects) the received samples and providesdetected data symbols, which may be a noisy estimate of the data symbolstransmitted to the device 2004 by the other device(s). A receive (RX)data processor 2024 processes (e.g., symbol demaps, deinterleaves, anddecodes) the detected data symbols and provides decoded data associatedwith each transmitting device (e.g., device 2002).

Components involved in sending information from the device 2004 to thedevice 2002 will now be described. At the device 2004, traffic data isprocessed by a transmit (TX) data processor 2026 to generate datasymbols. A modulator 2028 receives the data symbols, pilot symbols, andsignaling for a link, performs modulation (e.g., OFDM or some othersuitable modulation) and/or other pertinent processing, and provides anoutput chip stream, which is further conditioned by a transmitter (TMTR)2030 and transmitted from the antenna 2018. In some implementationssignaling for a link may include power control commands and otherinformation (e.g., relating to a communication channel) generated by acontroller 2032 for all devices (e.g. terminals) transmitting on thelink to the device 2004.

At the device 2002, the modulated signal transmitted by the device 2004is received by the antenna 2016, conditioned and digitized by a receiver(RCVR) 2034, and processed by a demodulator (DEMOD) 2036 to obtaindetected data symbols. A receive (RX) data processor 2038 processes thedetected data symbols and provides decoded data for the device 2002 andthe link signaling. A controller 2040 may receive power control commandsand other information to control data transmission and to controltransmit power on the link to the device 2004.

The controllers 2040 and 2032 direct various operations of the device2002 and the device 2004, respectively. For example, a controller maydetermine an appropriate filter, reporting information about the filter,and decode information using a filter. Data memories 2042 and 2044 maystore program codes and data used by the controllers 2040 and 2032,respectively.

FIG. 20 also illustrates that the communication components may includeone or more components that perform gain control operations as taughtherein. For example, a gain control component 2046 may cooperate withthe receiver 2034 and/or other components of the device 2002 to receivesignals from another device (e.g., device 2004). Similarly, a gaincontrol component 2048 may cooperate with the receiver 2020 and/or othercomponents of the device 2004 to receive signals from another device(e.g., device 2002). It should be appreciated that for each device 2002and 2004 the functionality of two or more of the described componentsmay be provided by a single component. For example, a single processingcomponent may provide the functionality of the gain control component2046 and the controller 2040 and a single processing component mayprovide the functionality of the gain control component 2048 and thecontroller 2032.

A wireless device constructed in accordance with the teachings hereinmay include various components that perform functions based on signalsthat are transmitted by or received at the wireless device. For example,a wireless headset may include a transducer adapted to provide an audiooutput based on a signal processed by the receiver or as a result of theidentification of a leading edge. A wireless watch may include a userinterface adapted to provide an indication based on a signal processedby the receiver or as a result of the identification of a leading edge.A wireless sensing device may include a sensor adapted to provide datato be transmitted via the transmitter as a result of the receiverprocessing a signal or as a result of the identification of a leadingedge.

A wireless device may communicate via one or more wireless communicationlinks that are based on or otherwise support any suitable wirelesscommunication technology. For example, in some aspects a wireless devicemay associate with a network. In some aspects the network may comprise apersonal area network (e.g., supporting a wireless coverage area on theorder of 30 meters) or a body area network (e.g., supporting a wirelesscoverage area on the order of 10 meters) implemented usingultra-wideband technology or some other suitable technology. In someaspects the network may comprise a local area network or a wide areanetwork. A wireless device may support or otherwise use one or more of avariety of wireless communication technologies, protocols, or standardssuch as, for example, CDMA, TDMA, OFDM, OFDMA, WiMAX, and Wi-Fi.Similarly, a wireless device may support or otherwise use one or more ofa variety of corresponding modulation or multiplexing schemes. Awireless device may thus include appropriate components (e.g., airinterfaces) to establish and communicate via one or more wirelesscommunication links using the above or other wireless communicationtechnologies. For example, a device may comprise a wireless transceiverwith associated transmitter and receiver components (e.g., transmitter110 and receiver 112) that may include various components (e.g., signalgenerators and signal processors) that facilitate communication over awireless medium.

In some aspects a wireless device may communicate via an impulse-basedwireless communication link. For example, an impulse-based wirelesscommunication link may utilize ultra-wideband pulses that have arelatively short length (e.g., on the order of a few nanoseconds orless) and a relatively wide bandwidth. In some aspects theultra-wideband pulses may have a fractional bandwidth on the order ofapproximately 20% or more and/or have a bandwidth on the order ofapproximately 500 MHz or more.

The teachings herein may be incorporated into (e.g., implemented withinor performed by) a variety of apparatuses (e.g., devices). For example,one or more aspects taught herein may be incorporated into a phone(e.g., a cellular phone), a personal data assistant (PDA), anentertainment device (e.g., a music or video device), a headset (e.g.,headphones, an earpiece, etc.), a microphone, a medical sensing device(e.g., a sensor such as a biometric sensor, a heart rate monitor, apedometer, an EKG device, a smart bandage, a vital signal monitor,etc.), a user I/O device (e.g., a watch, a remote control, a switch suchas a light switch, a keyboard, a mouse, etc.), an environment sensingdevice (e.g., a tire pressure monitor), a monitor that may receive datafrom the medical or environment sensing device, a computer, apoint-of-sale device, an entertainment device, a hearing aid, a set-topbox, a gaming device, or any other suitable device. The communicationdevices described herein may be used in any type of sensing application,such as for sensing automotive, athletic, and physiological (medical)responses. Any of the disclosed aspects of the disclosure may beimplemented in many different devices. For example, in addition tomedical applications as discussed above, the aspects of the disclosuremay be applied to health and fitness applications. Additionally, theaspects of the disclosure may be implemented in shoes for differenttypes of applications. There are other multitudes of applications thatmay incorporate any aspect of the disclosure as described herein.

These devices may have different power and data requirements. In someaspects, the teachings herein may be adapted for use in low powerapplications (e.g., through the use of an impulse-based signaling schemeand low duty cycle modes) and may support a variety of data ratesincluding relatively high data rates (e.g., through the use ofhigh-bandwidth pulses). As an example, in some implementations the widthof each pulse may be on the order of 1 nanosecond or less (e.g., 100picoseconds), while the pulse repetition interval may be on the order of100 nanoseconds to 10 microseconds. It should be appreciated that thesenumbers are merely representative and that a given impulse-based systemmay employ different pulse widths and/or pulse repetition intervals.

Various types of modulation schemes may be used with an impulse-basedsignaling scheme. For example, some implementations may employ pulseposition modulation (PPM). In addition, some implementations may employpulse time hopping (e.g., based on pseudorandom sequence).

In some aspects a wireless device may comprise an access device (e.g.,an access point) for a communication system. Such an access device mayprovide, for example, connectivity to another network (e.g., a wide areanetwork such as the Internet or a cellular network) via a wired orwireless communication link. Accordingly, the access device may enableanother device (e.g., a wireless station) to access the other network orsome other functionality. In addition, it should be appreciated that oneor both of the devices may be portable or, in some cases, relativelynon-portable. Also, it should be appreciated that a wireless device alsomay be capable of transmitting and/or receiving information in anon-wireless manner (e.g., via a wired connection) via an appropriatecommunication interface.

The components described herein may be implemented in a variety of ways.Referring to FIGS. 21 and 22, apparatuses 2100 and 2200 are representedas a series of interrelated functional blocks that may representfunctions implemented by, for example, one or more circuits (e.g., anintegrated circuit such as an ASIC) or may be implemented in some othermanner as taught herein. As discussed herein, a circuit may include aprocessor, software, other components, or some combination thereof.

The apparatus 2100 may include one or more modules that may performfunctionality as described herein (e.g., with regard to one or more ofthe accompanying figures) and that may correspond in some aspects tosimilarly designated “means for” functionality in the appended claims.For example, means for receiving sets of signals (e.g., a circuit forreceiving 2102) may correspond to, for example, a receiver as discussedherein and may be implemented as, for example, a processor or an ASIC.Means for determining characteristics (e.g., a circuit for determiningcharacteristics 2104) may correspond to, for example, a gain controlleras discussed herein and may be implemented as, for example, a processoror an ASIC. Means for selecting a gain level (e.g., a circuit forselecting a gain level 2106) may correspond to, for example, a gaincontroller as discussed herein and may be implemented as, for example, aprocessor or an ASIC. Means for processing another signal (e.g., acircuit for processing 2108) may correspond to, for example, a receiverand/or a processor as discussed herein and may be implemented as, forexample, a processor or an ASIC. Means for identifying a received signalmode (e.g., a circuit for identifying received signal mode 2110) maycorrespond to, for example, a gain controller as discussed herein andmay be implemented as, for example, a processor or an ASIC. Means forreceiving a signal (e.g., a circuit for receiving signal 2202) maycorrespond to, for example, a receiver as discussed herein and may beimplemented as, for example, a processor or an ASIC. Means fordetermining at least one characteristic (e.g., a circuit for determiningcharacteristic 2204) may correspond to, for example, a characteristicdeterminer as discussed herein and may be implemented as, for example, aprocessor or an ASIC. Means for determining a threshold (e.g., a circuitfor determining threshold 2206) may correspond to, for example, athreshold determiner as discussed herein and may be implemented as, forexample, a processor or an ASIC. Means for identifying a leading edge(e.g., a circuit for identifying leading edge 2208) may correspond to,for example, a leading edge identifier as discussed herein and may beimplemented as, for example, a processor or an ASIC. Means forgenerating a reconstruction (e.g., a circuit for generating signalreconstruction 2210) may correspond to, for example, a signalreconstructor as discussed herein and may be implemented as, forexample, a processor or an ASIC. Means for identifying a signal lobe(e.g., a circuit for identifying signal lobe 2212) may correspond to,for example, a leading edge identifier as discussed herein and may beimplemented as, for example, a processor or an ASIC. Means fordetermining a distance (e.g., a circuit for determining distance 2214)may correspond to, for example, a distance determiner as discussedherein and may be implemented as, for example, a processor or an ASIC.

As noted above, in some aspects these components may be implemented viaappropriate processor components. These processor components may in someaspects be implemented, at least in part, using structure as taughtherein. In some aspects a processor may be adapted to implement aportion or all of the functionality of one or more of these components.In some aspects, one or more of any components represented by dashedboxes are optional.

As noted above, the apparatuses 2100 and 2200 may comprise one or moreintegrated circuits. For example, in some aspects a single integratedcircuit may implement the functionality of one or more of theillustrated components, while in other aspects more than one integratedcircuit may implement the functionality of one or more of theillustrated components.

In addition, the components and functions represented by FIGS. 21 and 22as well as other components and functions described herein, may beimplemented using any suitable means. Such means also may beimplemented, at least in part, using corresponding structure as taughtherein. For example, the components described above in conjunction withthe “circuit for” components of FIGS. 21 and 22 also may correspond tosimilarly designated “means for” functionality. Thus, in some aspectsone or more of such means may be implemented using one or more ofprocessor components, integrated circuits, or other suitable structureas taught herein.

Also, it should be understood that any reference to an element hereinusing a designation such as “first,” “second,” and so forth does notgenerally limit the quantity or order of those elements. Rather, thesedesignations may be used herein as a convenient method of distinguishingbetween two or more elements or instances of an element. Thus, areference to first and second elements does not mean that only twoelements may be employed there or that the first element must precedethe second element in some manner. Also, unless stated otherwise a setof elements may comprise one or more elements. In addition, terminologyof the form “at least one of: A, B, or C” used in the description or theclaims means “A or B or C or any combination thereof”

Those of skill in the art would understand that information and signalsmay be represented using any of a variety of different technologies andtechniques. For example, data, instructions, commands, information,signals, bits, symbols, and chips that may be referenced throughout theabove description may be represented by voltages, currents,electromagnetic waves, magnetic fields or particles, optical fields orparticles, or any combination thereof.

Those of skill would further appreciate that any of the variousillustrative logical blocks, modules, processors, means, circuits, andalgorithm steps described in connection with the aspects disclosedherein may be implemented as electronic hardware (e.g., a digitalimplementation, an analog implementation, or a combination of the two,which may be designed using source coding or some other technique),various forms of program or design code incorporating instructions(which may be referred to herein, for convenience, as “software” or a“software module”), or combinations of both. To clearly illustrate thisinterchangeability of hardware and software, various illustrativecomponents, blocks, modules, circuits, and steps have been describedabove generally in terms of their functionality. Whether suchfunctionality is implemented as hardware or software depends upon theparticular application and design constraints imposed on the overallsystem. Skilled artisans may implement the described functionality invarying ways for each particular application, but such implementationdecisions should not be interpreted as causing a departure from thescope of the present disclosure.

The various illustrative logical blocks, modules, and circuits describedin connection with the aspects disclosed herein may be implementedwithin or performed by an integrated circuit (IC), an access terminal,or an access point. The IC may comprise a general purpose processor, adigital signal processor (DSP), an application specific integratedcircuit (ASIC), a field programmable gate array (FPGA) or otherprogrammable logic device, discrete gate or transistor logic, discretehardware components, electrical components, optical components,mechanical components, or any combination thereof designed to performthe functions described herein, and may execute codes or instructionsthat reside within the IC, outside of the IC, or both. A general purposeprocessor may be a microprocessor, but in the alternative, the processormay be any conventional processor, controller, microcontroller, or statemachine. A processor may also be implemented as a combination ofcomputing devices, e.g., a combination of a DSP and a microprocessor, aplurality of microprocessors, one or more microprocessors in conjunctionwith a DSP core, or any other such configuration.

It is understood that any specific order or hierarchy of steps in anydisclosed process is an example of a sample approach. Based upon designpreferences, it is understood that the specific order or hierarchy ofsteps in the processes may be rearranged while remaining within thescope of the present disclosure. The accompanying method claims presentelements of the various steps in a sample order, and are not meant to belimited to the specific order or hierarchy presented.

The steps of a method or algorithm described in connection with theaspects disclosed herein may be embodied directly in hardware, in asoftware module executed by a processor, or in a combination of the two.A software module (e.g., including executable instructions and relateddata) and other data may reside in a data memory such as RAM memory,flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a harddisk, a removable disk, a CD-ROM, or any other form of computer-readablestorage medium known in the art. A sample storage medium may be coupledto a machine such as, for example, a computer/processor (which may bereferred to herein, for convenience, as a “processor”) such theprocessor can read information (e.g., code) from and write informationto the storage medium. A sample storage medium may be integral to theprocessor. The processor and the storage medium may reside in an ASIC.The ASIC may reside in user equipment. In the alternative, the processorand the storage medium may reside as discrete components in userequipment. Moreover, in some aspects any suitable computer-programproduct may comprise a computer-readable medium comprising codes (e.g.,executable by at least one computer) relating to one or more of theaspects of the disclosure. In some aspects a computer program productmay comprise packaging materials.

In one or more exemplary embodiments, the functions described may beimplemented in hardware, software, firmware, or any combination thereof.If implemented in software, the functions may be stored on ortransmitted over as one or more instructions or code on acomputer-readable medium. Computer-readable media includes both computerstorage media and communication media including any medium thatfacilitates transfer of a computer program from one place to another. Astorage media may be any available media that can be accessed by acomputer. By way of example, and not limitation, such computer-readablemedia can comprise RAM, ROM, EEPROM, CD-ROM or other optical diskstorage, magnetic disk storage or other magnetic storage devices, or anyother medium that can be used to carry or store desired program code inthe form of instructions or data structures and that can be accessed bya computer. Also, any connection is properly termed a computer-readablemedium. For example, if the software is transmitted from a website,server, or other remote source using a coaxial cable, fiber optic cable,twisted pair, digital subscriber line (DSL), or wireless technologiessuch as infrared, radio, and microwave, then the coaxial cable, fiberoptic cable, twisted pair, DSL, or wireless technologies such asinfrared, radio, and microwave are included in the definition of medium.Disk and disc, as used herein, includes compact disc (CD), laser disc,optical disc, digital versatile disc (DVD), floppy disk and blu-ray discwhere disks usually reproduce data magnetically, while discs reproducedata optically with lasers. Thus, in some aspects computer readablemedium may comprise non-transitory computer readable medium (e.g.,tangible media). In addition, in some aspects computer readable mediummay comprise transitory computer readable medium (e.g., a signal).Combinations of the above should also be included within the scope ofcomputer-readable media.

The previous description of the disclosed aspects is provided to enableany person skilled in the art to make or use the present disclosure.Various modifications to these aspects will be readily apparent to thoseskilled in the art, and the generic principles defined herein may beapplied to other aspects without departing from the scope of thedisclosure. Thus, the present disclosure is not intended to be limitedto the aspects shown herein but is to be accorded the widest scopeconsistent with the principles and novel features disclosed herein.

1. A method of signal processing, comprising: receiving sets of signalsusing different gain levels of a set of gain levels; determiningcharacteristics of the received sets of signals; selecting a gain levelfrom the set of gain levels based on the determined characteristics; andprocessing another signal based on the selected gain level.
 2. Themethod of claim 1, wherein the characteristics comprise a plurality ofgain level metrics that indicate how the use of the different gainlevels affects the reception of the sets of signals.
 3. The method ofclaim 2, wherein the selection of the gain level comprises: using thegain level metrics to determine a minimum gain level that providesadequate received signal detection; and selecting at least one gainlevel of the set of gain levels for receiving the another signal basedon the determined minimum gain level.
 4. The method of claim 2, wherein:the reception of the sets of signals comprises sampling sets of receivedpulses; and each gain level metric is indicative of whether an amplitudeof a pulse sampled at a corresponding one of the gain levels is greaterthan or equal to a threshold.
 5. The method of claim 1, wherein theselection of the gain level comprises selecting a minimum gain levelthat provides adequate received signal detection.
 6. The method of claim1, wherein the processing of the another signal comprises determining aleading edge of the another signal.
 7. The method of claim 6, furthercomprising identifying a received signal mode based on the selected gainlevel, wherein the determination of the leading edge is based on thereceived signal mode.
 8. The method of claim 6, wherein thedetermination of the leading edge comprises: selecting a threshold basedon the selected gain level; and using the threshold to determine a timeof arrival of the leading edge.
 9. The method of claim 1, furthercomprising identifying a received signal mode based on the selected gainlevel.
 10. The method of claim 1, wherein: the reception of the sets ofsignals comprises, for each gain level of the set of gain levels,acquiring a plurality of pulses over a set of sample positions; thedetermination of the characteristics comprises, for the pulses acquiredat each gain level, providing a vector whereby each element of thevector corresponds to one of the sample positions; the determination ofthe characteristics further comprises determining gain level metricscorresponding to the different gain levels, whereby each gain levelmetric is indicative of how many elements of the vector for thecorresponding gain level are greater than or equal to a threshold; andthe selection of the gain level comprises selecting a minimum one of thegain levels that has a vector with at least one element that is greaterthan or equal to the threshold.
 11. An apparatus for signal processing,comprising: a receiver configured to receive sets of signals usingdifferent gain levels of a set of gain levels; and a gain controllerconfigured to determine characteristics of the received sets of signals,and further configured to select a gain level from the set of gainlevels based on the determined characteristics; wherein the receiver isfurther configured to process another signal based on the selected gainlevel.
 12. The apparatus of claim 11, wherein the characteristicscomprise a plurality of gain level metrics that indicate how the use ofthe different gain levels affects the reception of the sets of signals.13. The apparatus of claim 12, wherein the selection of the gain levelcomprises: using the gain level metrics to determine a minimum gainlevel that provides adequate received signal detection; and selecting atleast one gain level of the set of gain levels for receiving the anothersignal based on the determined minimum gain level.
 14. The apparatus ofclaim 12, wherein: the reception of the sets of signals comprisessampling sets of received pulses; and each gain level metric isindicative of whether an amplitude of a pulse sampled at a correspondingone of the gain levels is greater than or equal to a threshold.
 15. Theapparatus of claim 11, wherein the selection of the gain level comprisesselecting a minimum gain level that provides adequate received signaldetection.
 16. The apparatus of claim 11, wherein the processing of theanother signal comprises determining a leading edge of the anothersignal.
 17. The apparatus of claim 16, further comprising identifying areceived signal mode based on the selected gain level, wherein thedetermination of the leading edge is based on the received signal mode.18. The apparatus of claim 16, wherein the determination of the leadingedge comprises: selecting a threshold based on the selected gain level;and using the threshold to determine a time of arrival of the leadingedge.
 19. The apparatus of claim 16, wherein the determination of theleading edge comprises: selecting a subset of the set of gain levels forreceiving the another signal; generating a reconstruction of thereceived another signal; identifying a signal lobe associated with afirst local maximum of the signal reconstruction; and identifying aleading edge of the signal lobe.
 20. The apparatus of claim 19, wherein:the gain controller is further configured to identify a received signalmode based on the selected gain level; and at least one of the groupconsisting of: the selection of the subset of gain levels, theidentification of the signal lobe, and the identification of the leadingedge of the signal lobe, is based on the received signal mode.
 21. Theapparatus of claim 11, wherein the gain controller is further configuredto identify a received signal mode based on the selected gain level. 22.The apparatus of claim 11, wherein: the reception of the sets of signalscomprises, for each gain level of the set of gain levels, acquiring aplurality of pulses over a set of sample positions; the determination ofthe characteristics comprises, for the pulses acquired at each gainlevel, providing a vector whereby each element of the vector correspondsto one of the sample positions; the determination of the characteristicsfurther comprises determining gain level metrics corresponding to thedifferent gain levels, whereby each gain level metric is indicative ofhow many elements of the vector for the corresponding gain level aregreater than or equal to a threshold; and the selection of the gainlevel comprises selecting a minimum one of the gain levels that has avector with at least one element that is greater than or equal to thethreshold.
 23. An apparatus for signal processing, comprising: means forreceiving sets of signals using different gain levels of a set of gainlevels; means for determining characteristics of the received sets ofsignals; means for selecting a gain level from the set of gain levelsbased on the determined characteristics; and means for processinganother signal based on the selected gain level.
 24. The apparatus ofclaim 23, wherein the characteristics comprise a plurality of gain levelmetrics that indicate how the use of the different gain levels affectsthe reception of the sets of signals.
 25. The apparatus of claim 24,wherein the selection of the gain level comprises: using the gain levelmetrics to determine a minimum gain level that provides adequatereceived signal detection; and selecting at least one gain level of theset of gain levels for receiving the another signal based on thedetermined minimum gain level.
 26. The apparatus of claim 24, wherein:the reception of the sets of signals comprises sampling sets of receivedpulses; and each gain level metric is indicative of whether an amplitudeof a pulse sampled at a corresponding one of the gain levels is greaterthan or equal to a threshold.
 27. The apparatus of claim 23, wherein theselection of the gain level comprises selecting a minimum gain levelthat provides adequate received signal detection.
 28. The apparatus ofclaim 23, wherein the processing of the another signal comprisesdetermining a leading edge of the another signal.
 29. The apparatus ofclaim 28, further comprising means for identifying a received signalmode based on the selected gain level, wherein the determination of theleading edge is based on the received signal mode.
 30. The apparatus ofclaim 28, wherein the determination of the leading edge comprises:selecting a threshold based on the selected gain level; and using thethreshold to determine a time of arrival of the leading edge.
 31. Theapparatus of claim 28, wherein the determination of the leading edgecomprises: selecting a subset of the set of gain levels for receivingthe another signal; generating a reconstruction of the received anothersignal; identifying a signal lobe associated with a first local maximumof the signal reconstruction; and identifying a leading edge of thesignal lobe.
 32. The apparatus of claim 31, further comprising means foridentifying a received signal mode based on the selected gain level,wherein at least one of the group consisting of: the selection of thesubset of gain levels, the identification of the signal lobe, and theidentification of the leading edge of the signal lobe, is based on thereceived signal mode.
 33. The apparatus of claim 23, further comprisingmeans for identifying a received signal mode based on the selected gainlevel.
 34. The apparatus of claim 23, wherein: the reception of the setsof signals comprises, for each gain level of the set of gain levels,acquiring a plurality of pulses over a set of sample positions; thedetermination of the characteristics comprises, for the pulses acquiredat each gain level, providing a vector whereby each element of thevector corresponds to one of the sample positions; the determination ofthe characteristics further comprises determining gain level metricscorresponding to the different gain levels, whereby each gain levelmetric is indicative of how many elements of the vector for thecorresponding gain level are greater than or equal to a threshold; andthe selection of the gain level comprises selecting a minimum one of thegain levels that has a vector with at least one element that is greaterthan or equal to the threshold.
 35. A computer-program product forsignal processing, comprising: computer-readable medium comprising codesexecutable to: receive sets of signals using different gain levels of aset of gain levels; determine characteristics of the received sets ofsignals; select a gain level from the set of gain levels based on thedetermined characteristics; and process another signal based on theselected gain level.
 36. A headset, comprising: a receiver configured toreceive sets of signals using different gain levels of a set of gainlevels; a gain controller configured to determine characteristics of thereceived sets of signals, and further configured to select a gain levelfrom the set of gain levels based on the determined characteristics,wherein the receiver is further configured to process another signalbased on the selected gain level; and a transducer configured to providean audio output based on the processed another signal.
 37. A watch,comprising: a receiver configured to receive sets of signals usingdifferent gain levels of a set of gain levels; a gain controllerconfigured to determine characteristics of the received sets of signals,and further configured to select a gain level from the set of gainlevels based on the determined characteristics, wherein the receiver isfurther configured to process another signal based on the selected gainlevel; and a user interface configured to provide an indication based onthe processed another signal.
 38. A sensing device, comprising: areceiver configured to receive sets of signals using different gainlevels of a set of gain levels; a gain controller configured todetermine characteristics of the received sets of signals, and furtherconfigured to select a gain level from the set of gain levels based onthe determined characteristics, wherein the receiver is furtherconfigured to process another signal based on the selected gain level;and a sensor configured to provide data for transmission as a result ofthe processing of the another signal.